A segmentation model of the ultrasound (US) images of breast tumors based on virtual
agents trained using reinforcement learning (RL) is proposed. The agents, living in the edge …

A computing cluster that interconnects multiple compute nodes is used to accelerate
distributed reinforcement learning that uses DQN (Deep Q-Network). In distributed …

For intelligent surveillance, the issue of person re-identification has attracted extensive
research interest due to its great academic value and broad application prospect. This issue …

Data augmentation (DA) is widely employed to improve the generalization performance of
deep models. However, most existing DA methods use augmentation operations with …

X-ray computed tomography has established itself as a crucial tool in the analysis of rock
materials, providing the ability to visualise intricate 3D microstructures and capture …

区块链是结合分布式架构, 密码学以及激励机制等方法构建的一个分布式系统, 具有不可篡改性,
去中心化和不可伪造性等特点, 在不受信任的环境下可以实现安全的点对点交易, 受到广泛关注 …

To address the shortcomings of single-step decision making in the existing deep
reinforcement learning based unmanned aerial vehicle (UAV) real-time path planning …

The number of defect samples on the surface of aluminum profiles is small, and the
distribution of abnormal visual features is dispersed, such that the existing supervised …

The homography matrix plays a vital role in robotics and computer vision applications, but
mainstream estimators are usually customized for specific problems and are sensitive to …

Reinforcement learning (RL) has made great success in recent years. Generally, the
learning process requires a huge amount of interaction with the environment before an …